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Titlebook: Knowledge Discovery and Data Mining; The Info-Fuzzy Netwo Oded Maimon,Mark Last Book 2001 Springer-Verlag US 2001 addition.algorithms.compu

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楼主: ALOOF
发表于 2025-3-26 21:11:26 | 显示全部楼层
Oded Maimon,Mark Last book bringing discrete and continuous geometry together to .Computer vision and image analysis require interdisciplinary collaboration between mathematics and engineering. This book addresses the area of high-accuracy measurements of length, curvature, motion parameters and other geometrical quanti
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Oded Maimon,Mark Last book bringing discrete and continuous geometry together to .Computer vision and image analysis require interdisciplinary collaboration between mathematics and engineering. This book addresses the area of high-accuracy measurements of length, curvature, motion parameters and other geometrical quanti
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Oded Maimon,Mark Last book bringing discrete and continuous geometry together to .Computer vision and image analysis require interdisciplinary collaboration between mathematics and engineering. This book addresses the area of high-accuracy measurements of length, curvature, motion parameters and other geometrical quanti
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Oded Maimon,Mark Last book bringing discrete and continuous geometry together to .Computer vision and image analysis require interdisciplinary collaboration between mathematics and engineering. This book addresses the area of high-accuracy measurements of length, curvature, motion parameters and other geometrical quanti
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book bringing discrete and continuous geometry together to .Computer vision and image analysis require interdisciplinary collaboration between mathematics and engineering. This book addresses the area of high-accuracy measurements of length, curvature, motion parameters and other geometrical quanti
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Introduction (e.g., utilizing hand-written records or oral interviews). In the case of computer-aided analysis, the analyst had to enter the collected data into a statistical computer package or an electronic spreadsheet. Due to the high cost of data collection, people learned to make decisions based on limited information.
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Advanced data mining methodsude the following: ., which can be easily determined at run time; . (quality is a non-decreasing function of time); . of the quality w.r.t. computation time and input quality; diminishing returns of the quality over time; interruptibility of the algorithm (from here comes the term .); and preemptability with minimal overhead.
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